Evidence map›Paper›PMID 40670949›Full record

ArticleBMC psychiatry2025

The association between physical activity and depression among weekend catch-up sleepers: results from NHANES 2021-2023.

Kunyu Qiu, Yilei Liu, Yan Zhang, Jie Gu, Yanyan Huang

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kunyu QiuShanghai Putuo District Changzheng Town Community Health Service Center, Shanghai, 200333, China.
Yilei LiuShanghai Putuo District Changzheng Town Community Health Service Center, Shanghai, 200333, China.
Yan ZhangShanghai Putuo District Changzheng Town Community Health Service Center, Shanghai, 200333, China.
Jie GuDepartment of General Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Yanyan HuangDepartment of General Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China. hyiwen94@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a prevalent disorder with significant health impacts. Physical activity is known to protect against depression, but its effects may vary in populations with disrupted sleep patterns, such as weekend catch-up sleepers, which refers to participants who sleep longer on weekends than on weekdays. This study examines the dose-response relationship between physical activity and depression in this population.

methodsData from 1,906 participants in the National Health and Nutrition Examination Survey (2021-2023) were analyzed. Physical activity was measured in MET-minutes per week, and depression was assessed using the PHQ-9. Multivariate linear regression, restricted cubic spline, and two-part linear regression models were employed.

resultsIn the adjusted model, physical activity showed a negative trend with depression, though this association did not reach statistical significance in the fully adjusted model. Stratified analyses revealed stronger associations in women (OR = 0.86, 95% CI: 0.75, 0.99, P = 0.0329) and individuals aged 40-60 years (OR = 0.79, 95% CI: 0.65, 0.97, P = 0.0237). A threshold effect was observed, with physical activity below 2.48 MET-min/1000-wk showing a negative association with depression (OR = 0.69, 95% CI: 0.56, 0.85, P = 0.0006). Beyond this threshold, the relationship changed.

conclusionA nonlinear relationship between physical activity and depression was identified in weekend catch-up sleepers, with moderate activity levels (2.48 MET-min/1000-wk) offering the greatest mental health benefits, particularly in women and individuals aged 40-60 years. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DepressionExerciseSleepAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesYoung AdultDepressionNHANESPhysical activityThreshold effectsWeekend catch-up sleep

Identifiers

PMID40670949
PMCPMC12265244

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.